# Packages ----
library(h2o)

----------------------------------------------------------------------

Your next step is to start H2O:
    > h2o.init()

For H2O package documentation, ask for help:
    > ??h2o

After starting H2O, you can use the Web UI at http://localhost:54321
For more information visit http://docs.h2o.ai

----------------------------------------------------------------------


Attaching package: ‘h2o’

The following objects are masked from ‘package:stats’:

    cor, sd, var

The following objects are masked from ‘package:base’:

    &&, %*%, %in%, ||, apply, as.factor, as.numeric,
    colnames, colnames<-, ifelse, is.character,
    is.factor, is.numeric, log, log10, log1p, log2,
    round, signif, trunc
library(tidyverse)
── Attaching packages ───────────────────── tidyverse 1.2.1 ──
✔ ggplot2 3.1.0       ✔ purrr   0.3.0  
✔ tibble  2.0.1       ✔ dplyr   0.8.0.1
✔ tidyr   0.8.2       ✔ stringr 1.4.0  
✔ readr   1.3.1       ✔ forcats 0.4.0  
── Conflicts ──────────────────────── tidyverse_conflicts() ──
✖ dplyr::filter() masks stats::filter()
✖ dplyr::lag()    masks stats::lag()
# h2o
h2o.init()

H2O is not running yet, starting it now...

Note:  In case of errors look at the following log files:
    /var/folders/d_/_k539mwd3xsg0chwvt782vzm0000gn/T//Rtmpas3Pbj/h2o_jamesblair_started_from_r.out
    /var/folders/d_/_k539mwd3xsg0chwvt782vzm0000gn/T//Rtmpas3Pbj/h2o_jamesblair_started_from_r.err
java version "1.8.0_172"
Java(TM) SE Runtime Environment (build 1.8.0_172-b11)
Java HotSpot(TM) 64-Bit Server VM (build 25.172-b11, mixed mode)

Starting H2O JVM and connecting: .. Connection successful!

R is connected to the H2O cluster: 
    H2O cluster uptime:         2 seconds 368 milliseconds 
    H2O cluster timezone:       America/Denver 
    H2O data parsing timezone:  UTC 
    H2O cluster version:        3.22.1.2 
    H2O cluster version age:    1 month and 1 day  
    H2O cluster name:           H2O_started_from_R_jamesblair_xsp203 
    H2O cluster total nodes:    1 
    H2O cluster total memory:   3.56 GB 
    H2O cluster total cores:    8 
    H2O cluster allowed cores:  8 
    H2O cluster healthy:        TRUE 
    H2O Connection ip:          localhost 
    H2O Connection port:        54321 
    H2O Connection proxy:       NA 
    H2O Internal Security:      FALSE 
    H2O API Extensions:         XGBoost, Algos, AutoML, Core V3, Core V4 
    R Version:                  R version 3.5.2 (2018-12-20) 

Data

Modeling

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